文章基本信息

标题：Robust Power Allocation for OFDM-Based Cognitive Radio Networks under Signal-to-Interference-plus-Noise-Ratio Constraints
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作者：Yongjun Xu ; Qianbin Chen ; Lun Tang 等
期刊名称：Journal of Communications
印刷版ISSN：1796-2021
出版年度：2017
卷号：12
期号：1
页码：8-16
DOI：10.12720/jcm.12.1.8-16
语种：English
出版社：ACADEMY PUBLISHER
摘要：Traditional power allocation schemes in Orthogonal Frequency Division Multiplexing (OFDM) based Cognitive Radio Networks (CRNs) are achieved under perfect channel state information (i.c., exact parameter information). Due to channel estimation errors and feedback delays, however, channel uncertainties are inevitable in practical CRNs. In this paper, considering bounded channel uncertainties, a robust power allocation algorithm is proposed to minimize the total transmit power of Secondary Users (SUs) subject to the interference temperature constraint of primary user and the received Signal-to-Interference-plus-Noise Ratio (SINR) constraint of SU where the non-convex optimization problem is converted into a convex optimization problem that is solved by dual decomposition theory. Numerical results demonstrate the effectiveness of the proposed algorithm by comparing with the non-robust algorithm in the aspect of suppressing the effect of parameter uncertainties.
关键词：Cognitive radio;robust power allocation;parametric uncertainties;robustness